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基于用电信息采集系统的反窃电风险评估研究与应用
引用本文:赵俊鹏,吕孟玉,张洋瑞,张冰玉,李晶,段子荷.基于用电信息采集系统的反窃电风险评估研究与应用[J].河北电力技术,2019,38(1):24-25,29.
作者姓名:赵俊鹏  吕孟玉  张洋瑞  张冰玉  李晶  段子荷
作者单位:国网河北省电力有限公司电力科学研究院,石家庄,050021;国网河北省电力有限公司沧州供电分公司,河北沧州,061000
摘    要:窃电的多样性与反窃电成本的逐步提高,给供电企业的反窃电工作带来了巨大的挑战。介绍了一种综合贝叶斯分类算法与聚类算法的分析研究方法,通过对与窃电相关的事件进行特征值赋予,并根据关联关系编制了一套窃电概率值评价体系,实现了对窃电嫌疑用户进行窃电概率评估。该方法可精准定位窃电现场,提升窃电用户查处的效率,改善社会用电环境。

关 键 词:用电信息采集系统  聚类算法  数据权值  风险评价体系  数据推送  贝叶斯分类方法

Research and Application of Anti-stealing Risk Assessment Based on Electricity Information Acquisition System
ZHAO Junpeng,LV Mengyu,ZHANG Yangrui,ZHANG Bingyu,LI Jing,DUAN Zihe.Research and Application of Anti-stealing Risk Assessment Based on Electricity Information Acquisition System[J].Hebei Electric Power,2019,38(1):24-25,29.
Authors:ZHAO Junpeng  LV Mengyu  ZHANG Yangrui  ZHANG Bingyu  LI Jing  DUAN Zihe
Affiliation:(State Grid Hebei Electric Power Research Institute,Shijiazhuang 050021,China;State Grid Hebei Electric Power Corporation Cangzhou Power Supply Branch,He Bei Cangzhou 061000,China)
Abstract:The diversity of electricity stealing and the gradual improvement of the anti electricity stealing cost have brought great challenge to the power supply enterprises anti stealing work.This paper introduces an analysis and research method of comprehensive Bias classification algorithm and clustering algorithm.By assigning characteristics to the related incidents of stealing electricity,works out a set of evaluation system of stealing electricity probability value based on the relationship,and realizes the probability of stealing electricity for suspected users.The method can accurately locate the field of electricity stealing,can improve the efficiency of investigation for the users of electricity stealing and improve the environment of social electricity consumption.
Keywords:electricity information collection system  clustering algorithm  data weight  risk evaluation system  data push  Bias classification method
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